OpenAlex Citation Counts

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OpenAlex is a bibliographic catalogue of scientific papers, authors and institutions accessible in open access mode, named after the Library of Alexandria. It's citation coverage is excellent and I hope you will find utility in this listing of citing articles!

If you click the article title, you'll navigate to the article, as listed in CrossRef. If you click the Open Access links, you'll navigate to the "best Open Access location". Clicking the citation count will open this listing for that article. Lastly at the bottom of the page, you'll find basic pagination options.

Requested Article:

Making sense of chemical space network shows signs of criticality
Nicola Amoroso, Nicola Gambacorta, Fabrizio Mastrolorito, et al.
Scientific Reports (2023) Vol. 13, Iss. 1
Open Access | Times Cited: 15

Showing 15 citing articles:

TISBE: A Public Web Platform for the Consensus-Based Explainable Prediction of Developmental Toxicity
Fabrizio Mastrolorito, Maria Vittoria Togo, Nicola Gambacorta, et al.
Chemical Research in Toxicology (2024) Vol. 37, Iss. 2, pp. 323-339
Closed Access | Times Cited: 9

Chemical Space Networks Enhance Toxicity Recognition via Graph Embedding
Fabrizio Mastrolorito, Nicola Gambacorta, Fulvio Ciriaco, et al.
Journal of Chemical Information and Modeling (2025)
Closed Access

From High Dimensions to Human Insight: Exploring Dimensionality Reduction for Chemical Space Visualization
Alexey A. Orlov, Tagir Akhmetshin, Dragos Horvath, et al.
Molecular Informatics (2024) Vol. 44, Iss. 1
Closed Access | Times Cited: 2

Where developmental toxicity meets explainable artificial intelligence: state-of-the-art and perspectives
Maria Vittoria Togo, Fabrizio Mastrolorito, Angelica Orfino, et al.
Expert Opinion on Drug Metabolism & Toxicology (2023) Vol. 20, Iss. 7, pp. 561-577
Closed Access | Times Cited: 6

From Deep Learning to the Discovery of Promising VEGFR‐2 Inhibitors
Mehmet Ali Yucel, Ercan Adal, Mine Buga Aktekin, et al.
ChemMedChem (2024) Vol. 19, Iss. 16
Open Access | Times Cited: 1

Harnessing Chemical Space Neural Networks to Systematically Annotate GPCR ligands
Emil D. Jensen, Frederik G. Hansson, Niklas Gesmar Madsen, et al.
Research Square (Research Square) (2024)
Open Access | Times Cited: 1

Applicability Domain for Trustable Predictions
Siyun Yang, Supratik Kar
Methods in molecular biology (2024), pp. 131-149
Closed Access | Times Cited: 1

Recent Advances in the Discovery of Novel Drugs on Natural Molecules
Laura Quintieri, Leonardo Caputo, Orazio Nicolotti
Biomedicines (2024) Vol. 12, Iss. 6, pp. 1254-1254
Open Access

Machine Learning in Early Prediction of Metabolism of Drugs
Marta Lettieri, M.D. Rodda, Virginia Carlucci
Methods in molecular biology (2024), pp. 275-291
Closed Access

Approaching Pharmacological Space: Events and Components
Giulio Vistoli, Carmine Talarico, Serena Vittorio, et al.
Methods in molecular biology (2024), pp. 151-169
Closed Access

TIRESIA and TISBE: Explainable Artificial Intelligence Based Web Platforms for the Transparent Assessment of the Developmental Toxicity of Chemicals and Drugs
Maria Vittoria Togo, Fabrizio Mastrolorito, Nicola Gambacorta, et al.
Methods in molecular biology (2024), pp. 373-391
Closed Access

QSAR: Using the Past to Study the Present
Giuseppina Gini
Methods in molecular biology (2024), pp. 3-39
Closed Access

Evaluating Applicability Domain of Acute Toxicity QSAR Models for Military and Industrial Chemical Risk Assessment
Jennifer L. Fisher, Koji Yamada, A.J. Keebaugh, et al.
Toxicology Letters (2024)
Closed Access

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